Acceptability of artificial intelligence in dental radiology among patients in India: are we ready for this revolution?

IF 1.6 3区医学 Q3 DENTISTRY, ORAL SURGERY & MEDICINE

Oral Radiology Pub Date : 2024-10-09 DOI:10.1007/s11282-024-00777-z

Preeti Chawla Arora, Komaldeep Kaur Sandhu, Aman Arora, Ambika Gupta, Mandavi Waghmare, Vasundhara Rampal

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引用次数: 0

Abstract

Objective: In recent times, artificial Intelligence (AI) has gained popularity in medical as well as dental radiology. Studies have been conducted among medical and dental students and professionals about the knowledge and understanding towards AI. The aim of this study was to investigate the perceptions and acceptability of AI in dental radiology among a group of Indian patients seeking dental treatment.

Methods: A cross-sectional research was planned with a validated questionnaire, containing ten close ended questions amongst 1562 patients. Their sociodemographic characters, opinions and attitudes regarding AI and feasibility of acceptance of AI-based dental radiological diagnosis among patients was evaluated. The study sample was divided in various groups on the basis of their age; group-1(16-30 years), group-2(31-45 years) and group-3(>45 years), educational status and urban/rural background. Statistical analysis was done by Chi-square test with significance value set at p< 0.005.

Results-: The participants possessed impressive knowledge about AI. Patients' awareness, attitudes and acceptability towards AI for dental radiographic diagnosis were substantially influenced by age, education level and residential background. Although many of them, especially the urban and more educated participants believed that AI could be more accurate, they preferred the human judgement. Overall, a negative attitude in terms of acceptability of AI in dental radiology was observed in this study.

Conclusions: Participants opined that AI should only be used as an auxiliary tool and valued clinical judgment over AI in ambiguous situations. It is recommended that this promising technological advancement can be used for initial screening in dental radiology.

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印度患者对人工智能牙科放射学的接受程度：我们准备好迎接这场革命了吗？

目的：近来，人工智能（AI）在医学和牙科放射学中越来越受欢迎。医学和牙科专业的学生和专业人士对人工智能的知识和理解进行了研究。本研究旨在调查一群寻求牙科治疗的印度患者对人工智能在牙科放射学中的认知度和接受度：方法：计划对 1562 名患者进行横断面研究，采用经过验证的调查问卷，其中包含 10 个封闭式问题。对患者的社会人口学特征、对人工智能的看法和态度以及接受人工智能牙科放射诊断的可行性进行了评估。研究样本根据年龄分为不同的组别：第一组（16-30 岁）、第二组（31-45 岁）和第三组（大于 45 岁）、教育状况和城乡背景。统计分析采用卡方检验，显著性检验值为 p<0.005：参与者对人工智能的了解程度令人印象深刻。患者对人工智能用于牙科放射诊断的认识、态度和接受程度主要受年龄、教育水平和居住背景的影响。尽管他们中的许多人，尤其是城市和受教育程度较高的参与者认为人工智能可能更准确，但他们更倾向于人工判断。总体而言，在牙科放射学中对人工智能的可接受性持否定态度：参与者认为，人工智能只能作为一种辅助工具，在模棱两可的情况下，他们更看重临床判断而非人工智能。建议将这一前景广阔的技术进步用于牙科放射学的初步筛查。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Oral Radiology DENTISTRY, ORAL SURGERY & MEDICINE-

CiteScore

4.20

自引率

13.60%

发文量

审稿时长

>12 weeks

期刊介绍： As the official English-language journal of the Japanese Society for Oral and Maxillofacial Radiology and the Asian Academy of Oral and Maxillofacial Radiology, Oral Radiology is intended to be a forum for international collaboration in head and neck diagnostic imaging and all related fields. Oral Radiology features cutting-edge research papers, review articles, case reports, and technical notes from both the clinical and experimental fields. As membership in the Society is not a prerequisite, contributions are welcome from researchers and clinicians worldwide.